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Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
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| Symbol | Correlation |
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-0.200309 |
| |
-0.200333 |
| |
-0.200395 |
| |
-0.200423 |
| |
-0.200457 |
| |
-0.200468 |
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-0.200488 |
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-0.200506 |
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-0.200594 |
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-0.200634 |
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-0.200707 |
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-0.200790 |
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-0.200848 |
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-0.200874 |
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-0.200904 |
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-0.200960 |
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-0.201057 |
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-0.201211 |
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-0.201284 |
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-0.201309 |
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-0.201380 |
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-0.201380 |
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-0.201401 |
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-0.201401 |
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-0.201462 |
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Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
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